{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4a25d294-aa1e-4669-a280-ec9a96819a15",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 作业要求\n",
    "\n",
    "1. 读取“scores.csv”中的数据绘制成箱线图。\n",
    "2. 同一张图上每个科成绩对应一个箱线。\n",
    "3. 观察所绘制的箱线图，简单分析一下。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "879ab987-2f74-4eff-87c5-0d3b62114168",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from matplotlib import font_manager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4ddc3bfe-a2d8-4dfa-acde-747e131d4f72",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 创建字体管理对象，指向具体的字体文件\n",
    "font = font_manager.FontProperties(\n",
    "    fname=\"/System/Library/Fonts/STHeiti Light.ttc\", size=14, weight=4\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2ed2f3cf-f98d-49a6-bf1a-e6e347bbbad7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num</th>\n",
       "      <th>class</th>\n",
       "      <th>chn</th>\n",
       "      <th>math</th>\n",
       "      <th>eng</th>\n",
       "      <th>phy</th>\n",
       "      <th>chem</th>\n",
       "      <th>politics</th>\n",
       "      <th>bio</th>\n",
       "      <th>history</th>\n",
       "      <th>geo</th>\n",
       "      <th>pe</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>158</td>\n",
       "      <td>3</td>\n",
       "      <td>99.0</td>\n",
       "      <td>120</td>\n",
       "      <td>114.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>49.50</td>\n",
       "      <td>50.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>48.5</td>\n",
       "      <td>49.5</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>442</td>\n",
       "      <td>7</td>\n",
       "      <td>107.0</td>\n",
       "      <td>120</td>\n",
       "      <td>118.5</td>\n",
       "      <td>68.6</td>\n",
       "      <td>43.00</td>\n",
       "      <td>49.0</td>\n",
       "      <td>48.5</td>\n",
       "      <td>48.5</td>\n",
       "      <td>49.0</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>249</td>\n",
       "      <td>4</td>\n",
       "      <td>98.0</td>\n",
       "      <td>120</td>\n",
       "      <td>116.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>47.50</td>\n",
       "      <td>47.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>49.0</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>573</td>\n",
       "      <td>9</td>\n",
       "      <td>102.0</td>\n",
       "      <td>113</td>\n",
       "      <td>111.5</td>\n",
       "      <td>70.0</td>\n",
       "      <td>47.00</td>\n",
       "      <td>49.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>49.5</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>310</td>\n",
       "      <td>5</td>\n",
       "      <td>103.0</td>\n",
       "      <td>120</td>\n",
       "      <td>111.5</td>\n",
       "      <td>70.0</td>\n",
       "      <td>44.75</td>\n",
       "      <td>46.5</td>\n",
       "      <td>48.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num  class    chn  math    eng   phy   chem  politics   bio  history   geo  \\\n",
       "0  158      3   99.0   120  114.0  70.0  49.50      50.0  49.0     48.5  49.5   \n",
       "1  442      7  107.0   120  118.5  68.6  43.00      49.0  48.5     48.5  49.0   \n",
       "2  249      4   98.0   120  116.0  70.0  47.50      47.0  49.0     47.5  49.0   \n",
       "3  573      9  102.0   113  111.5  70.0  47.00      49.0  49.0     49.0  49.5   \n",
       "4  310      5  103.0   120  111.5  70.0  44.75      46.5  48.0     48.0  48.0   \n",
       "\n",
       "   pe  \n",
       "0  60  \n",
       "1  56  \n",
       "2  60  \n",
       "3  60  \n",
       "4  60  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"scores.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0ef146d2-707d-42dd-8cbf-eec158c049fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['chn',\n",
       " 'math',\n",
       " 'eng',\n",
       " 'phy',\n",
       " 'chem',\n",
       " 'politics',\n",
       " 'bio',\n",
       " 'history',\n",
       " 'geo',\n",
       " 'pe']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "courseNames = data.columns.tolist()[2:]\n",
    "courseNames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1bbeddaf-67d2-4215-b598-3f78c1e88340",
   "metadata": {},
   "outputs": [],
   "source": [
    "data4show = []\n",
    "for courseName in courseNames:\n",
    "    data4show.append(data[courseName])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "744d9ffb-5c38-407e-86ad-1329fbd8ff3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5),dpi=120)\n",
    "plt.boxplot(data4show)\n",
    "plt.xticks(range(1,11), courseNames)\n",
    "plt.title(\"Courses - Scorces\")\n",
    "plt.xlabel(\"Courses\")\n",
    "plt.ylabel(\"Scorces\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
